Special issue on pattern recognition and information processing using neural networks
Fuchun Sun, Ying Tan, Cong Wang · Soft Computing · 2009
Neural network techniques have proven to be flexible in pattern recognition and information processing in complex environments.They typically include BP networks, RBF networks, support vector machine (SVM) and other similar biologically motivated models.The neural network techniques are able to enhance recognition accuracy, and have found applications in real-world environments.This special issue addresses neural network techniques in pattern recognition and information processing problems.The first paper ''Kernel based improved discriminant analysis and its application to face recognition,'' coauthored by Dake Zhou and Zhenmin Tang, presents a variant of KDA called kernel-based improved discriminant analysis (KIDA).In the proposed framework, original samples are projected firstly into a feature space by an implicit nonlinear mapping.After reconstructing betweenclass scatter matrix in the feature space by weighted